Sonix Health

by Ontact Health Co.  · Based in South Korea → — Excellence in Result, Simplicity in Experience.
Cardiology Critical Care Radiology

Contact vendor for pricing.
Regulatory Status Disclosed

Overview

Sonix Health by Ontact Health Co. is an AI-powered echocardiography analysis solution designed to automate the measurement and analysis of echocardiography images. It is intended for quantifying and reporting echocardiography for use by or on the order of a licensed physician. The software streamlines workflows by offering features such as AI-driven view recognition, automated measurements (B-mode, M-mode, Doppler, and Strain analysis), and automated report generation. It aims to increase efficiency, reduce manual operation, and support medical decision-making with precise and accurate assessments. Sonix Health is DICOM compliant and can be deployed as software installed on customer PC hardware or via cloud/on-premise options, operating seamlessly across various systems due to its vendor-independent technology.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-Powered Fully-Automated Echocardiography Analysis
  • View Recognition (classification of 37 FDA-approved views with 96.25% accuracy)
  • Auto Measure (automated quantification of B-mode, M-mode, Doppler parameters)
  • Auto Strain (automated LV, LA, and RV Strain analysis without EKG)
  • Image Quality Meter (AI-powered image selection for precision diagnostics)
  • DICOM Compliant
  • Automated Report Generation
  • Vendor-independent technology
  • Seamless integration into existing workflows
  • Optimized efficiency by streamlining workflow and precise heart cycle detection without ECG

Use Cases

  • Streamlining echocardiography workflow
  • Assisting clinicians in adult heart measurements and echocardiography examinations
  • Supporting medical decision-making with automated analysis
  • Reducing repetitive manual operation in echocardiography analysis
  • Accelerating learning and training for medical staff in ultrasound examinations
  • Detailed review of ultrasound images to address overlooked factors in diagnosis

What Physicians Need to Know

ECG/EKG Analysis Capability
Sonix Health's solution automatically detects heart cycles by analyzing valve motion, eliminating the need for traditional ECG/EKG input for its primary echocardiography analysis.
Echocardiography AI Features
Offers fully automated echocardiography analysis, from cardiac imaging to report generation, with one-touch operation. It automates the measurement of 81 diagnostic items, significantly reducing clinician time. The AI can automatically select low-quality images, systematizing the analysis process. It provides automated Left Ventricular (LV), Left Atrial (LA), and Right Ventricular (RV) Strain analysis from the apical view without requiring EKG. The system supports automated analysis of B-mode, M-mode, Doppler, and Strain parameters. It boasts 97.5% accuracy compared to manual measurements for FDA-approved parameters and recognizes cardiac structures with 96.25% accuracy across 37 FDA-approved views. The image quality meter can improve analysis from 87% in poor-quality scans to 94% in optimal conditions.
Cardiac Monitoring Integration
The solution offers multi-vendor and multi-device support, ensuring high compatibility for seamless integration with existing ultrasound devices and hospital systems. It can be deployed either in the cloud or on-premise, offering flexibility for healthcare facilities.
AHA/ACC Guideline Alignment
Not explicitly stated in the provided information.
Real-Time Alert Capability
Not explicitly mentioned as a direct feature of Sonix Health. The focus is on automated analysis and report generation for echocardiography, which facilitates timely clinical action.
Physician Tip

Sonix Health can significantly streamline echocardiography workflows by automating measurements and report generation, freeing up clinician time. Its AI-driven image quality assessment and multi-vendor compatibility make it a valuable tool for standardizing echo interpretation and potentially aiding less experienced staff or those in training. The ability to perform strain analysis without an EKG simplifies the examination process. Consider its cloud or on-premise deployment options for flexible integration into your facility's infrastructure.

Sonix Health is designed for seamless integration with various ultrasound devices and existing hospital systems due to its multi-vendor and multi-device support. It offers deployment flexibility with both cloud and on-premise options, allowing facilities to choose the system that best suits their IT infrastructure and data management policies.

Details

Category Cardiology AI
Pricing Contact vendor for pricing.
DeploymentSoftware only, installed directly on customer PC hardware; also offers cloud or on-premise options.
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Sonix Health is a Class II medical device (21 CFR 892.2050, Product Code QIH, LLZ) with FDA 510(k) clearances K230209 (October 20, 2023) and K240645 (November 26, 2024). It is intended for quantifying and reporting echocardiography for use by or on the order of a licensed physician, accepting DICOM-compliant medical images from ultrasound devices for adult populations.

Integrations
EHR Not specified
Specialties Cardiology, Critical Care, Radiology

What the Web Says

Sonix Health offers an AI-powered echocardiography solution designed to automate the analysis of ultrasound images, aiming to improve efficiency and accuracy in heart assessment for adult patients. It classifies ultrasound views and measures cardiac parameters using AI, and is compatible with existing DICOM-compliant ultrasound equipment. The company also provides transcription services, Sonix (sonix.ai), which is highly rated for its accuracy and ease of use in converting audio and video to text, supporting multiple languages and various industries including healthcare.

Overall: Positive

Strengths

  • Automated analysis reduces workload for medical staff and shortens patient waiting times for echocardiography results.
  • High accuracy in AI-powered echocardiography analysis, with strong correlation to expert manual measurements.
  • Seamless compatibility with existing ultrasound equipment and vendor-neutral technology reduces the burden on IT resources.
  • Transcription services offer industry-leading accuracy (up to 99%) and support over 50 languages.
  • User-friendly interface and efficient editing tools for transcription services.
  • HIPAA compliant for medical and healthcare transcription, with automatic PHI detection.

Limitations

  • Pricing model for transcription services can be complicated and unclear.
  • Some users find the monthly fee for keeping a transcription account active too high for low usage.
  • Transcription interface has been described as dated and lacking features like an audio waveform for easier editing.
  • Transcription accuracy can be affected by complex recordings with multiple speakers, accents, or background noise, requiring significant editing.
  • Lack of a mobile app for transcription services.
  • Some Reddit users reported negative experiences with Sonic Health (a different entity, likely Sonic HealthPlus for DSP assessments) regarding condescending assessors or unexpected rejections after assessments.

Based on reviews from: SONIXHealth (sonix.health), Sonix (sonix.ai), Capterra, G2, Reddit, FirstSales, HappyScribe, Trustpilot, Indeed, X-ray Interpreter

Last updated: 2026-07-18

Ratings & Reviews

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Press & Coverage

Korea Biomedical Review
Samjin Pharmaceutical secures exclusive Korea rights to AI cardiac ultrasound solution
Samjin Pharmaceutical has signed an exclusive distribution agreement with Ontact Health for its AI-driven automated echocardiography analysis solution, SONIX HEALTH, in Korea. This solution has received both FDA 510(k) clearance and Class II medical device certification from Korea's Ministry of Food and Drug Safety (MFDS).
2026-05
uba54ub514uce7cuc5c5uc800ubc84 (Medical Observer)
uc0bcuc9c4uc81cuc57d-uc628ud0ddud2b8ud5ecuc2a4, uc2ecuc7a5ucd08uc74cud30c AI uc194ub8e8uc158 uad6dub0b4 ub3c5uc810 uacf5uae09 ud611uc57d - uba54ub514uce7cuc5c5uc800ubc84
Samjin Pharmaceutical and Ontact Health have signed an MOU for the exclusive domestic supply of SONIX HEALTH, an AI-based cardiac ultrasound solution. The agreement aims to expand their collaboration in the digital healthcare sector and accelerate the adoption of SONIX HEALTH in Korean medical institutions.
2026-05
uc911uc559uc77cubcf4 (JoongAng Ilbo)
uc0bcuc9c4uc81cuc57d-uc628ud0ddud2b8ud5ecuc2a4, 'uc2ecuc7a5ucd08uc74cud30c AI uc194ub8e8uc158 uad6dub0b4 ub3c5uc810 uacf5uae09' ud611uc57d uccb4uacb0 | uc911uc559uc77cubcf4
Samjin Pharmaceutical and Ontact Health have entered into an exclusive domestic supply agreement for the AI cardiac ultrasound solution 'SONIX HEALTH'. This partnership will see Samjin Pharmaceutical handle the distribution of the FDA 510(k) cleared and MFDS Class II certified solution in Korea.
2026-05
PubMed Central (PMC)
Deep learning-based multi-view echocardiographic framework for comprehensive diagnosis of pericardial disease - PMC
This study utilized SONIX Health, an in-house AI-based model from Ontact Health Co., Ltd., for automatic extraction of Doppler and IVC measurements in a deep learning-based framework for diagnosing pericardial disease. The framework was trained and validated using a national echocardiographic database from South Korea.
2026-03
Oxford Academic
Machine-learning-derived phenotypes of hypertensive patients using multidimensional clinical and echocardiographic data including strain imaging - Oxford Academic
This research quantified LV-GLS and LASr using the AI-based Sonix Health Workstation (Version 2.0; Ontact Health Co., Ltd., Korea), which provides automated view classification, segmentation, and parameter extraction for echocardiographic images. The study aimed to identify machine-learning-derived phenotypes in hypertensive patients.
2026-03
medRxiv
Longitudinal Changes in Left Atrial Stiffness Index Improve Risk Stratification in Patients with Hypertension - medRxiv
The study utilized Sonix Health Workstation, version 2.0, an automated AI-based software from Ontact Health Inc., Korea, to quantify LV global longitudinal strain (LV-GLS) and left atrial reservoir strain (LASr) in hypertensive patients. The research investigated how longitudinal changes in left atrial stiffness index impact risk stratification.
2026-05
RadAI Slice
Sonix Health | FDA Radiology AI Device - X-ray Interpreter
Sonix Health, a software product from Ontact Health Co., Ltd., received FDA approval on November 27, 2024, for automatically analyzing echocardiography ultrasound images. It uses AI to classify ultrasound views and measure cardiac parameters, aiming to improve efficiency and accuracy in heart assessment for adult patients.
2024-11
accessdata.fda.gov
K240645 - Seungah Lee - accessdata.fda.gov
Sonix Health, an automated radiological image processing software, was classified as a Class II medical device by the FDA on November 27, 2024. It is intended for quantifying and reporting echocardiography for use by or on the order of a licensed physician in adult populations.
2024-11

Videos

Product demos, reviews, and walkthroughs for Sonix Health.

View all on YouTube

Frequently Asked Questions

Sonix Health is an AI solution developed for cardiac diagnostics, primarily focusing on echocardiography analysis. It automates the measurement of 81 items, offers one-touch analysis and report generation, and supports multiple vendors and devices, aiming to streamline the diagnostic process and enhance efficiency.
Sonix Health's broader platform, Sonix, is HIPAA, GDPR, and SOC 2 Type II compliant, offering Business Associate Agreements (BAAs) for enterprise clients. Data is secured with end-to-end encryption, strict access controls, and audit logs, and patient data is not used for AI model training. Sonix Health's echocardiography solution has also received FDA 510(k) clearance.
While Sonix Health's AI demonstrates high accuracy for basic echocardiographic assessments like LVEF and screening-level valvular abnormalities, its capabilities are currently limited in more advanced evaluations such as automated diastolic dysfunction assessment or precise quantification of valvular regurgitation, which still necessitate expert cardiologist input. Human oversight and clinical judgment remain crucial despite AI's high performance.
Specific pricing details for Sonix Health's cardiology AI solution are not publicly available in the search results. General pricing information for the broader Sonix transcription service indicates various plans and subscription options, but for the specialized cardiology AI workstation, practices would typically need to contact Sonix Health directly for a quote.
While direct competitors specifically for AI-powered echocardiography analysis were not extensively detailed, other AI-powered cardiovascular ultrasound systems like GE HealthCare's Vivid Pioneer and AISAP's CARDIO AI have received FDA clearance. Sonix Health differentiates itself through its focus on automated echocardiography analysis, multi-vendor compatibility, and the ability to analyze 81 cardiac items with one-touch operation.
Sonix Health's AI primarily requires echocardiography data for analysis. Patient data is integrated into the system for automated analysis and report generation. The platform ensures patient data protection through end-to-end encryption, SOC 2 Type II certification, HIPAA compliance with BAAs, and strict policies against using patient data for AI model training.
Sonix Health's AI has demonstrated high accuracy in automated echocardiography analysis, with studies showing it can achieve 97.5% accuracy compared to manual measurements for 81 FDA-approved parameters and 96.25% accuracy in classifying cardiac structures. Clinical studies suggest AI-assisted echocardiography can improve diagnostic accuracy and efficiency, with cardiologists making fewer corrections to AI-generated assessments compared to sonographer assessments. However, robust evidence directly linking AI adoption to improved patient-centered outcomes like mortality or hospital stay is still an area of ongoing research in cardiology.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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